About the role

Aplyr's Quick Take

This role is about teaching machine learning concepts and practices to employees at Jane Street. You'll develop and deliver educational programs, mentor other educators, and engage in hands-on coding related to machine learning. It's primarily an individual contributor role with a focus on education and mentorship.

Good fit

Ideal candidates will have a strong background in machine learning, experience in teaching or curriculum development, and a knack for coding. Those who thrive in collaborative environments and enjoy mentoring others will do well here.

Worth noting

The position emphasizes both teaching and practical coding, which is somewhat unique for an educator role. The company values continuous learning and has a strong focus on integrating machine learning into their operations.

About the Position

We’re looking for an experienced and skilled educator to help us teach people at Jane Street about machine learning.

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. Our ML team is full of people with a shared love for the craft of software engineering, and for designing APIs and systems that are delightful to use.

Education is also a big focus for us. We believe that continued learning and exploration will play an essential role in supporting our growth. As Machine learning permeates through every part of our stack, we want to invest more.

The ML Educator will be instrumental in maintaining and growing our ML educational programs and classes, spanning topics such as an introduction to general ML, efficient use of AI assistants, our internal stack for training models, and how to reason about performance. We’re looking for someone who:

Is a skilled, effective, and experienced teacher. Part of that means being an effective writer and presenter.
Is good at writing code, and is excited to spend a significant fraction of their time doing so as part of our machine learning research. The job requires developing an understanding of our technology stack, and the best way to build that understanding is by doing.
Is a great mentor to other budding teachers. Part of the job is going to be teaching and developing curricula. But an equally important part is going to be helping other people involved in teaching to grow their skills.

We’re excited to talk to people who have experience teaching ML topics in a university or an industry setting.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

Skills & Tags

go machine learning ai design

Aplyr's read

Jane Street is a leading quantitative trading firm where tech and finance intersect, attracting analytical minds who thrive in a fast-paced, data-driven environment.
Synthesized from recent postings & public sources

What's promising

•Jane Street offers a highly collaborative environment with a strong focus on mentorship and learning.
•The firm is renowned for its innovative use of technology in trading strategies.
•Competitive compensation packages reflect the high value placed on talent and expertise.

What to watch

•The high-pressure environment may not suit everyone, especially those seeking work-life balance.
•Limited public information about career progression and long-term employee retention.
•The firm's focus on quantitative skills may limit opportunities for those from non-technical backgrounds.

Why Jane Street

•Jane Street's flat organizational structure encourages open communication and idea sharing.
•The firm is known for its rigorous and intellectually challenging interview process.
•Strong emphasis on using cutting-edge technology to drive trading decisions.

Aplyr’s read is generated by AI from public sources. Was it useful?